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Modus QA is proud to offer the world's first MR-safe Motion QA phantom for simulation, planning and delivery applications. Watch the video to see how the integrated design saves setup time and increases operational efficiency.

A new area for proton therapy in treatment of eye cancer, because of the ability to control the tissue penetration and eliminate full beam lines through a multitude of critical structures in the head. RaySearch unveiled a new treatment planning software for the eye at the American Association of Physicists in Medicine (AAPM) 2019 meeting. The vendor showed some of the first patient cases coming out of the Westdeutsches Protonentherapiezentrum Essen (WPE) proton center in Germany. RaySearch said several U.S. proton centers had interest in the technology at the conference.

This is an example of the Mirada DLCExpert deep learning software that automatically identifies organs, segments and auto-contours them as the first step in creating radiation oncology treatment plans. This example of a segmented prostate computed tomography (CT) scan being used to plan radiotherapy was created without any human intervention. It was demonstrated at the American Association of Physicists in Medicine (AAPM) 2019 meeting.

This example shows OAR Space hydrogel (outlined in blue) injected to create space between the prostate and the rectum to prevent damage to that radiation sensitive structure. The gel is hard to identify on the CT scan because it looks like part of the rectum or prostate. But the softwares AI has been trained to identify it when present.

The DLCExpert software was cleared by the FDA in July 2018 and was first shown at ASTRO 2018. It automatically identifies anatomical structures and contours them to save staff time. The files created by the software are vendor neutral and can be imported into any vendor’s treatment planning system. Read more about this software.

This is a quick demonstration of the Varian Identify image-guided patient positioning system at the American Association of Physicists in Medicine (AAPM) 2019 meeting. It helps align patients on the radiotherapy system treatment table to match the position they were in when the computed tomography (CT) scan was created. This ensures the radiation beams are delivered according to the treatment plan and will not be aimed accidentally at health tissue. It uses real-time tracking of the surface of the patient's skin using three visible light emitters, so it does not add dose, such as when on-board X-ray imaging is used. The system compares the patients position to the treatment plan CT scan and color codes in red any areas that are not in the proper position. It also uses RFID tags on the table to help know the exact position of the patient.

The system can show the radiotherapist if the patient is no longer aligned with the plan and the therapist can manually stop the therapy. The vendor said in the future, they plan to integrate the system with Varian's therapy systems so treatment will be stopped automatically by the Identify system.

The system also uses a biometric scanner to ensure the correct plan is being used with the correct patient.

Modus QA is proud to offer the world's first MR-safe Motion QA phantom for simulation, planning and delivery applications. Watch the video to see how the integrated design saves setup time and increases operational efficiency.

At ASTRO 2018, Accuray showcased new patient-first innovations, including motion synchronization on Radixact, and the new CK VoLO, a fast optimizer on the CyberKnife system. Andrew Delao, senior director of marketing for Accuray, highlights the new features.

CarolinaEast Health System, an award-winning health system in New Bern, N.C., was one of the first to collaborate with Philips to implement IntelliSpace Enterprise Edition, a comprehensive managed service. Watch the video to see how we collaborated together to streamline workflows and improve interoperability for better care.

With Intellispace Enterprise Edition as the foundation, Philips Healthcare is connecting facilities and service areas within enterprises, while developing standards-based interoperability that preserves customers' investments and best of breed systems.

Radiation therapy has become increasingly effective and safe as vendors continue to innovate technologies that benefit the patient. At ASTRO 2018, this patient-centric approach was exemplified and demonstrated not only in ways that match treatments to patients, but in how technologies can adjust to patient movement and anatomical changes, and to increase the precision of treatments. ITN Contributing Editor Greg Freiherr showcases several new technologies that are helping to advance this field.

ITN Contributing Editor Greg Freiherr offers an overview of artificial intelligence advances at the Radiological Society of North America (RSNA) 2017 annual meeting. AI was by far the hottest topic in sessions and on the expo floor at RSNA 2017. Here are links to related deep learning, machine learning coverage:

A new area for proton therapy in treatment of eye cancer, because of the ability to control the tissue penetration and eliminate full beam lines through a multitude of critical structures in the head. RaySearch unveiled a new treatment planning software for the eye at the American Association of Physicists in Medicine (AAPM) 2019 meeting. The vendor showed some of the first patient cases coming out of the Westdeutsches Protonentherapiezentrum Essen (WPE) proton center in Germany. RaySearch said several U.S. proton centers had interest in the technology at the conference.

This is an example of the Mirada DLCExpert deep learning software that automatically identifies organs, segments and auto-contours them as the first step in creating radiation oncology treatment plans. This example of a segmented prostate computed tomography (CT) scan being used to plan radiotherapy was created without any human intervention. It was demonstrated at the American Association of Physicists in Medicine (AAPM) 2019 meeting.

This example shows OAR Space hydrogel (outlined in blue) injected to create space between the prostate and the rectum to prevent damage to that radiation sensitive structure. The gel is hard to identify on the CT scan because it looks like part of the rectum or prostate. But the softwares AI has been trained to identify it when present.

The DLCExpert software was cleared by the FDA in July 2018 and was first shown at ASTRO 2018. It automatically identifies anatomical structures and contours them to save staff time. The files created by the software are vendor neutral and can be imported into any vendor’s treatment planning system. Read more about this software.

This is a quick demonstration of the Varian Identify image-guided patient positioning system at the American Association of Physicists in Medicine (AAPM) 2019 meeting. It helps align patients on the radiotherapy system treatment table to match the position they were in when the computed tomography (CT) scan was created. This ensures the radiation beams are delivered according to the treatment plan and will not be aimed accidentally at health tissue. It uses real-time tracking of the surface of the patient's skin using three visible light emitters, so it does not add dose, such as when on-board X-ray imaging is used. The system compares the patients position to the treatment plan CT scan and color codes in red any areas that are not in the proper position. It also uses RFID tags on the table to help know the exact position of the patient.

The system can show the radiotherapist if the patient is no longer aligned with the plan and the therapist can manually stop the therapy. The vendor said in the future, they plan to integrate the system with Varian's therapy systems so treatment will be stopped automatically by the Identify system.

The system also uses a biometric scanner to ensure the correct plan is being used with the correct patient.

This is a lung cancer tumor radiotherapy treatment plan for the Accuray CyberKnife system demonstrated at the American Association of Physicists in Medicine (AAPM)2019 meeting. The blue lines are the radiation beam lines that are shot from different positions to all intersect in the tumor to deliver the prescribed amount of radiation and prevent damage to surrounding healthy tissue. The beams also are planned around the critical structure organs near the target tumor to limit their dose. The organs are color coded to differentiate them on the treatment plan and to help with the estimated radiation dose each receives based on the plan. After the plan is optimized, it is fed into the radiotherapy treatment system computer to deliver the treatment once the patient is positioned on the treatment table exactly as they are in the CT scans used to create the plan.

Modus QA is proud to offer the world's first MR-safe Motion QA phantom for simulation, planning and delivery applications. Watch the video to see how the integrated design saves setup time and increases operational efficiency.

A new area for proton therapy in treatment of eye cancer, because of the ability to control the tissue penetration and eliminate full beam lines through a multitude of critical structures in the head. RaySearch unveiled a new treatment planning software for the eye at the American Association of Physicists in Medicine (AAPM) 2019 meeting. The vendor showed some of the first patient cases coming out of the Westdeutsches Protonentherapiezentrum Essen (WPE) proton center in Germany. RaySearch said several U.S. proton centers had interest in the technology at the conference.

This is an example of the Mirada DLCExpert deep learning software that automatically identifies organs, segments and auto-contours them as the first step in creating radiation oncology treatment plans. This example of a segmented prostate computed tomography (CT) scan being used to plan radiotherapy was created without any human intervention. It was demonstrated at the American Association of Physicists in Medicine (AAPM) 2019 meeting.

This example shows OAR Space hydrogel (outlined in blue) injected to create space between the prostate and the rectum to prevent damage to that radiation sensitive structure. The gel is hard to identify on the CT scan because it looks like part of the rectum or prostate. But the softwares AI has been trained to identify it when present.

The DLCExpert software was cleared by the FDA in July 2018 and was first shown at ASTRO 2018. It automatically identifies anatomical structures and contours them to save staff time. The files created by the software are vendor neutral and can be imported into any vendor’s treatment planning system. Read more about this software.

This is a quick demonstration of the Varian Identify image-guided patient positioning system at the American Association of Physicists in Medicine (AAPM) 2019 meeting. It helps align patients on the radiotherapy system treatment table to match the position they were in when the computed tomography (CT) scan was created. This ensures the radiation beams are delivered according to the treatment plan and will not be aimed accidentally at health tissue. It uses real-time tracking of the surface of the patient's skin using three visible light emitters, so it does not add dose, such as when on-board X-ray imaging is used. The system compares the patients position to the treatment plan CT scan and color codes in red any areas that are not in the proper position. It also uses RFID tags on the table to help know the exact position of the patient.

The system can show the radiotherapist if the patient is no longer aligned with the plan and the therapist can manually stop the therapy. The vendor said in the future, they plan to integrate the system with Varian's therapy systems so treatment will be stopped automatically by the Identify system.

The system also uses a biometric scanner to ensure the correct plan is being used with the correct patient.

This is an example of the Mirada DLCExpert deep learning software that automatically identifies organs, segments and auto-contours them as the first step in creating radiation oncology treatment plans. This example of a segmented prostate computed tomography (CT) scan being used to plan radiotherapy was created without any human intervention. It was demonstrated at the American Association of Physicists in Medicine (AAPM) 2019 meeting.

This example shows OAR Space hydrogel (outlined in blue) injected to create space between the prostate and the rectum to prevent damage to that radiation sensitive structure. The gel is hard to identify on the CT scan because it looks like part of the rectum or prostate. But the softwares AI has been trained to identify it when present.

The DLCExpert software was cleared by the FDA in July 2018 and was first shown at ASTRO 2018. It automatically identifies anatomical structures and contours them to save staff time. The files created by the software are vendor neutral and can be imported into any vendor’s treatment planning system. Read more about this software.

This is a lung cancer tumor radiotherapy treatment plan for the Accuray CyberKnife system demonstrated at the American Association of Physicists in Medicine (AAPM)2019 meeting. The blue lines are the radiation beam lines that are shot from different positions to all intersect in the tumor to deliver the prescribed amount of radiation and prevent damage to surrounding healthy tissue. The beams also are planned around the critical structure organs near the target tumor to limit their dose. The organs are color coded to differentiate them on the treatment plan and to help with the estimated radiation dose each receives based on the plan. After the plan is optimized, it is fed into the radiotherapy treatment system computer to deliver the treatment once the patient is positioned on the treatment table exactly as they are in the CT scans used to create the plan.

This is a quick walk around of a mobile 32-slice computed tomography (CT) scanner used for surgery, brachytherapy and proton therapy on display by Mobius Imaging at the 2019 American Association Of Physicists in Medicine (AAPM) meeting. The system simply plugs into a standard wall outlet and all of the required hardware and software is built into the gantry. There is no need for an equipment closet, cabinet or server tower. The company said the CT system was created by some of the same developers who built the O-arm mobile CT system, but they said this CT scanner is much more compact.

The system features a 33-inch aperture, large enough to place a wheelchair inside. It can be rotated 90 degrees in either direction and the deck can be parked in any position, making it easier for patients to get on and off the 660-pound weight table. The FluoroSpeed X1 offers controls that are ergonomic for technologists, with duplicate controls on each side for either a left- or right-handed tech. The machine also has a large aperture to allow swallow studies.

The FluoroSpeed X1 comes equipped with a 17 x 17-inch dynamic digital X-ray detector (FPD) in the table bucky, allowing it to both be used for fluoroscopy as well as radiographic exams.

This is a walk around of an innovative new SPECT-CT nuclear imaging system shown at the Radiological Society Of North America (RSNA) 2018 meeting this week. It's CT system with comes in 16, 64 or 128 slice configurations. It has 12 SPECT detector robotic arms that automatically move toward the patient and use a sensor to stop a few millimeters from the skin to optimize photon counts and SPECT image quality. It also uses more sensitive CZT digital detectors, which allows either faster scan times, or use of only half the radiotracer dose of analog detector scans.

Prem Soman, M.D., director of nuclear cardiology at the Heart and Vascular Institute, University of Pittsburgh, and president-elect of the American Society of Nuclear Cardiology (ASNC), explained advances in PET and SPECT imaging and the learning curve involved in reading scans from the new CZT SPECT cameras. Watch the VIDEO: Trends in Nuclear Cardiology Imaging, an iknterview with David Wolinsky, M.D., director of nuclear cardiology at Cleveland Clinic Florida. Read the related article "Advances in Cardiac Nuclear Imaging."

This is an example of the Mirada DLCExpert deep learning software that automatically identifies organs, segments and auto-contours them as the first step in creating radiation oncology treatment plans. This example of a segmented prostate computed tomography (CT) scan being used to plan radiotherapy was created without any human intervention. It was demonstrated at the American Association of Physicists in Medicine (AAPM) 2019 meeting.

This example shows OAR Space hydrogel (outlined in blue) injected to create space between the prostate and the rectum to prevent damage to that radiation sensitive structure. The gel is hard to identify on the CT scan because it looks like part of the rectum or prostate. But the softwares AI has been trained to identify it when present.

The DLCExpert software was cleared by the FDA in July 2018 and was first shown at ASTRO 2018. It automatically identifies anatomical structures and contours them to save staff time. The files created by the software are vendor neutral and can be imported into any vendor’s treatment planning system. Read more about this software.

ITN Editor Dave Fornell takes a tour of some of the most interesting new medical imaging technologies displayed on the expo floor at the 2018 Radiological Society of North America (RSNA) meeting. The video includes new technologies for fetal ultrasound, CT, MRI, mobile DR X-ray, a new generation of fluoroscopy systems, MRI contrast mapping to better identify tumors, and a new technique to create moving X-ray images from standard DR imaging.